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POC - BLOOM for QuestionAnswering, tuned on squad_v2

This model is a fine-tuned version of bigscience/bloom-560m on the squad_v2 dataset. It is intended for a proof of concept, and perhaps to serve as a starting point for others trying to do the same thing.

Ongoing discussion surrounding this effort:

https://huggingface.co/bigscience/bloom/discussions/46#633c57b2ccce04161f82e6c2

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-05
• train_batch_size: 6
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.24.0.dev0
• Pytorch 1.12.1+cu102
• Datasets 2.6.1
• Tokenizers 0.13.1